Commit
·
5a24a5f
1
Parent(s):
bb97e42
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- un_multi
|
| 7 |
+
metrics:
|
| 8 |
+
- bleu
|
| 9 |
+
model-index:
|
| 10 |
+
- name: opus-mt-en-ar-evaluated-en-to-ar-4000instances-un_multi-leaningRate2e-05-batchSize8-11-action-1
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
name: Sequence-to-sequence Language Modeling
|
| 14 |
+
type: text2text-generation
|
| 15 |
+
dataset:
|
| 16 |
+
name: un_multi
|
| 17 |
+
type: un_multi
|
| 18 |
+
args: ar-en
|
| 19 |
+
metrics:
|
| 20 |
+
- name: Bleu
|
| 21 |
+
type: bleu
|
| 22 |
+
value: 51.7715
|
| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 26 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 27 |
+
|
| 28 |
+
# opus-mt-en-ar-evaluated-en-to-ar-4000instances-un_multi-leaningRate2e-05-batchSize8-11-action-1
|
| 29 |
+
|
| 30 |
+
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on the un_multi dataset.
|
| 31 |
+
It achieves the following results on the evaluation set:
|
| 32 |
+
- Loss: 0.1850
|
| 33 |
+
- Bleu: 51.7715
|
| 34 |
+
- Meteor: 0.5164
|
| 35 |
+
- Gen Len: 25.5612
|
| 36 |
+
|
| 37 |
+
## Model description
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Intended uses & limitations
|
| 42 |
+
|
| 43 |
+
More information needed
|
| 44 |
+
|
| 45 |
+
## Training and evaluation data
|
| 46 |
+
|
| 47 |
+
More information needed
|
| 48 |
+
|
| 49 |
+
## Training procedure
|
| 50 |
+
|
| 51 |
+
### Training hyperparameters
|
| 52 |
+
|
| 53 |
+
The following hyperparameters were used during training:
|
| 54 |
+
- learning_rate: 2e-05
|
| 55 |
+
- train_batch_size: 8
|
| 56 |
+
- eval_batch_size: 8
|
| 57 |
+
- seed: 42
|
| 58 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 59 |
+
- lr_scheduler_type: linear
|
| 60 |
+
- num_epochs: 11
|
| 61 |
+
|
| 62 |
+
### Training results
|
| 63 |
+
|
| 64 |
+
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Gen Len |
|
| 65 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
|
| 66 |
+
| 0.6999 | 0.25 | 100 | 0.1959 | 50.1492 | 0.508 | 25.2788 |
|
| 67 |
+
| 0.1994 | 0.5 | 200 | 0.1931 | 51.003 | 0.513 | 25.4038 |
|
| 68 |
+
| 0.1863 | 0.75 | 300 | 0.1864 | 51.3268 | 0.5145 | 25.1675 |
|
| 69 |
+
| 0.1826 | 1.0 | 400 | 0.1841 | 51.2507 | 0.513 | 25.2388 |
|
| 70 |
+
| 0.1494 | 1.25 | 500 | 0.1840 | 51.4291 | 0.5159 | 25.4225 |
|
| 71 |
+
| 0.1483 | 1.5 | 600 | 0.1839 | 51.2645 | 0.5126 | 25.395 |
|
| 72 |
+
| 0.1547 | 1.75 | 700 | 0.1837 | 51.7589 | 0.5157 | 25.48 |
|
| 73 |
+
| 0.1487 | 2.0 | 800 | 0.1845 | 51.896 | 0.5177 | 25.3988 |
|
| 74 |
+
| 0.1235 | 2.25 | 900 | 0.1852 | 52.0583 | 0.5177 | 25.5212 |
|
| 75 |
+
| 0.1164 | 2.5 | 1000 | 0.1850 | 51.7715 | 0.5164 | 25.5612 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- Transformers 4.18.0
|
| 81 |
+
- Pytorch 1.11.0
|
| 82 |
+
- Datasets 2.1.0
|
| 83 |
+
- Tokenizers 0.12.1
|